All funding news

Enterprise SaaS — funding news

27 recent Enterprise SaaS rounds across our tracked sources.

Orbio logo
🇺🇸OrbioHR Tech / Workforce Management

Orbio builds AI agents that automate hiring, onboarding, and management of frontline workers for enterprises.

$21MSeries A
D
Dawn Capital
V2
A $21M Series A for frontline workforce automation signals that enterprises are finally willing to pay for AI agents that handle high-volume, repetitive hiring/onboarding—the unsexy but massive TAM. Orbio likely uses this to build out vertical-specific workflows (retail, hospitality, logistics) and land bigger enterprise customers who need compliance-grade automation. If you're building any kind of workflow automation for SMBs or enterprises, watch how they price and position around liability/compliance—that's the real moat in regulated labor workflows.
C
Coram AIEnterprise SaaS

Coram AI builds enterprise AI software for organizations to deploy and manage large language models securely.

$35MSeries B
Investor undisclosed
A $35M Series B for LLM ops infrastructure signals that enterprises have moved past 'should we use LLMs?' to 'how do we actually run this safely at scale'—governance and deployment tooling are now table stakes, not nice-to-haves. This round size suggests Coram is positioning for land-and-expand across Fortune 500s, which means if you're building anything that touches model management, compliance, or multi-tenant AI workloads, you're now competing in a space with well-funded players who can bundle these capabilities.
Mygate logo
🇮🇳MygateCommunity Management & Security

Mygate builds an app-based security and access management platform for gated residential communities.

$27K
D
Dharana Capital
A $0M round (likely a pre-seed or angel check) into residential security in India signals investors are betting on digitization of fragmented, analog property management—but the absence of a disclosed amount suggests this is still very early validation, not category momentum. If you're building in adjacent verticals like tenant screening, utility management, or community payments, watch whether Mygate can actually get adoption past the first 50 buildings; that's where most community SaaS products stall.
Supabase logo
🇺🇸SupabaseBackend Infrastructure

Supabase builds a Postgres-native backend platform with auth, storage, and AI features for developers.

$500MSeries F
G
GIC
Accel logoY Combinator logoC
+5
A $500M Series F for a Postgres wrapper signals that open-source-adjacent infrastructure is now a legitimate path to massive scale—GIC leading suggests institutional LPs see this as defensible, not a commodity. Supabase is almost certainly using this to build out AI-native features (embeddings, retrieval) and expand sales motion into enterprise, which means the real moat they're betting on is being the easiest Postgres layer for AI apps. If you're building any developer tool that touches databases or embeddings, watch how they position AI capabilities—that's the playbook for staying relevant in 2026.
PixelBloom logo
🇨🇳PixelBloomEnterprise SaaS

PixelBloom builds AI agents that automate workplace productivity tasks for enterprise teams.

UndisclosedSeries C
Investor undisclosed
Opal Security logo
Opal SecuritySecurity

Opal Security provides identity and access governance for enterprise SaaS applications.

$23MSeries A
Greylock logo
Greylock
Identity governance for SaaS is finally getting serious capital—this signals enterprises are moving past point solutions and want centralized control over who accesses what across their entire app stack. At $23M Series A, Opal is likely building out horizontal coverage (more SaaS integrations) and sales motion to land mid-market, which means the category has matured past early adopter phase. If you're building any kind of access control, compliance, or audit layer, watch how Opal positions against Okta's SaaS governance play—that's your competitive moat test.
DataMasque logo
🇳🇿DataMasqueData Privacy & AI Infrastructure

DataMasque builds data de-identification and synthetic data infrastructure for enterprises to safely use sensitive data in AI development.

$4MSeries A
W
Wavemaker Ventures
OI
A $4M Series A for data de-identification signals that enterprises are finally moving past 'we can't use real data' excuses—the compliance friction is real enough to fund infrastructure around it. If you're building anything that touches customer data (analytics, ML training, testing), DataMasque's existence means your customers will soon expect you to have a story for how you handle it, not just promise confidentiality.
Factorial logo
🇪🇸FactorialHR Tech / AI Workforce Platform

Factorial builds AI agents that automate HR, finance, and IT workflows for mid-market businesses.

$150MSeries D
General Catalyst logo
General Catalyst
Atomico logoF
A $150M Series D for workflow automation in back-office functions signals that enterprise buyers are finally willing to pay for AI agents that actually reduce headcount—not just augment. Factorial's getting this check because mid-market companies are desperate to cut ops costs, and General Catalyst betting this hard means they see a repeatable playbook across HR/finance/IT. If you're building in adjacent operational workflows (procurement, legal ops, compliance), this validates that the buyer is ready to consolidate multiple tools into one AI-first platform rather than bolt-on point solutions.
Wordsmith logo
🇺🇰WordsmithLegal AI

Wordsmith builds AI-powered legal request management software for in-house legal teams to automate routine work and route requests across organizations.

$70MSeries B
H
Highland Europe
Index Ventures logo
A $70M Series B for legal ops automation signals that enterprise buyers are finally willing to pay for AI that handles the boring stuff—not flashy copilots, but actual workflow routing and triage. If you're building in any vertical with high-volume, repetitive request handling (finance ops, HR, procurement), this validates that the unit economics work when you own the routing layer, not just the writing layer.
AlphaSense logo
🇺🇸AlphaSenseAI-powered Search & Analytics

AlphaSense builds AI-powered search and analytics for financial services and enterprise professionals to extract insights from unstructured data.

Undisclosed
Investor undisclosed
序
🇨🇳

序熵纪元

Enterprise SaaS

序熵纪元 builds AI-powered research infrastructure for enterprise investment teams.

UndisclosedSeed
Investor undisclosed
DriveNets logo
🇮🇱DriveNetsNetworking Infrastructure

DriveNets builds disaggregated networking software and hardware for telecom operators to modernize infrastructure.

$410M
Investor undisclosed
A $410M round for disaggregated telecom infrastructure signals that operators are finally moving past vendor lock-in—this is real capex reallocation, not hype. DriveNets is likely burning this on R&D to harden their software stack and land anchor customers at scale, which means the playbook for selling into telecom is shifting from 18-month sales cycles to actual product-market fit. If you're building any infrastructure software targeting carriers, watch how they handle the AMD partnership—it's a template for how to make hardware commoditization work without becoming a commodity yourself.
Entrata logo
🇺🇸EntrataReal Estate Software

Entrata builds property management and leasing software for real estate operators and landlords.

UndisclosedIPO
Investor undisclosed
Daloopa logo
DaloopaFinancial Data & Analytics

Daloopa provides financial data and analytics for enterprise clients to access alternative data sources and market intelligence.

$47MSeries C
Investor undisclosed
A $47M Series C for financial data aggregation signals that enterprises are finally willing to pay for alternative data at scale—not just as a nice-to-have. This round size suggests Daloopa is moving upmarket into tier-1 buy-side/sell-side shops, which means they're likely burning cash on sales infrastructure and data licensing deals rather than product. If you're building any B2B data product, watch whether they're expanding horizontally (new data types) or vertically (deeper into specific verticals like credit/commodities)—that tells you which moat actually works in this space.
Utilidata logo
🇺🇸UtilidataUtilities Management

Utilidata builds software for electric utilities to optimize grid operations and integrate distributed energy resources.

$40MSeries C Extension
Investor undisclosed
A $40M Series C extension signals utilities are finally moving past pilots on DER integration—this isn't speculative anymore, it's operational necessity as grids get messier. Utilidata's likely using this to scale sales/support across regions and harden their platform for mission-critical workloads, which means the TAM is real but the sales cycle is brutal. If you're building any grid-adjacent software (demand response, microgrid control, EV charging orchestration), watch how Utilidata positions around regulatory compliance—that's the actual moat, not the tech.
杉
🇨🇳

杉岩数据

Data Storage

杉岩数据 builds enterprise data storage solutions for organizations managing large-scale data infrastructure.

$14MSeries D
Investor undisclosed
A $14M Series D for a Chinese enterprise storage company signals that data infrastructure is still a viable path to scale in China despite regulatory headwinds—but the undisclosed investors and lack of foreign participation suggest the market is increasingly domestic-focused. If you're building data tools, watch whether Chinese storage vendors start bundling AI/analytics features; that's where the real margin expansion happens next.
Fresha logo
🇬🇧FreshaMarketplace / Booking Platform

Fresha builds a booking and management platform for beauty and wellness businesses to schedule appointments and manage operations.

$80MGrowth
K
KKR
KKR's $80M growth check into a beauty/wellness booking platform signals they see consolidation potential in fragmented SMB verticals—this isn't about product innovation, it's about roll-up economics and international expansion. Fresha likely uses this to acquire regional competitors and build out marketplace network effects across geographies. If you're building any vertical SaaS for service businesses (fitness, salons, clinics), watch how they're packaging SMB + marketplace together—that playbook is now well-funded and will compress your TAM.
Ennov logo
🇫🇷EnnovEnterprise SaaS

Ennov builds quality management and regulatory compliance software for life sciences and manufacturing companies.

UndisclosedStrategic
B
Bregal Sagemount
Fresha logo
🇬🇧FreshaMarketplace / Booking Platform

Fresha builds a booking and management platform for beauty and wellness businesses to schedule appointments and manage operations.

$80MGrowth Equity
K
KKR
KKR's $80M growth check into a UK beauty-tech platform signals that booking/scheduling SaaS is now mature enough for PE-style returns—they're betting on margin expansion and geographic rollup, not product-market fit. Fresha likely uses this to consolidate fragmented regional competitors and expand into adjacent verticals (fitness, wellness clinics). If you're building in any SMB operations software, watch how they're packaging compliance/payments/loyalty into the core product—that's becoming table stakes for the next funding round.
Aera Technology logo
🇺🇸Aera TechnologyAI/Automation

Aera Technology builds AI-powered business automation software for enterprise operations teams to optimize decision-making and workflows.

UndisclosedStrategic
A
Accenture
Edra logo
🇺🇸EdraWorkflow Automation

Edra automates IT and support workflows by converting operational data into a searchable knowledge base for enterprises.

$30MSeries A
Sequoia logo
Sequoia
8VC logoA
Glimpse logo
🇺🇸GlimpseEnterprise SaaS

Glimpse uses AI agents to help retailers automate deduction disputes and recover lost revenue from suppliers.

$35MSeries A
Andreessen Horowitz logo
Andreessen Horowitz
8VC logoY Combinator logo
A16z leading a $35M Series A in supplier deduction recovery signals that automation of back-office revenue leakage is now fundable at scale—retailers are hemorrhaging enough money on disputed chargebacks that AI agents justify enterprise deployment. If you're building in adjacent compliance/disputes workflows (chargebacks, warranty claims, insurance denials), this validates that the unit economics work when you can automate what was previously manual reconciliation.
Pursuit logo
🇺🇸PursuitGovernment Contracting

Pursuit helps companies identify and win government contracts by analyzing public procurement data from state, local, and education entities.

$22MSeries A
M
Mike Rosengarten
JBS
A $22M Series A for government procurement intelligence signals that the fragmented state/local contracting market is finally getting the data-layer treatment—these buyers spend ~$2T annually but have been flying blind. Pursuit is likely using this to scale their procurement data pipeline and sales team to hit the mid-market (companies doing $50M-$500M revenue that can actually move on contracts). If you're building any B2B SaaS that touches compliance, procurement, or vendor management, watch how Pursuit's GTM evolves—they're proving there's real willingness to pay for de-risking government sales.
Bunch logo
🇬🇧BunchVC OperationsVerified

Bunch builds AI-native software for private markets operations teams to streamline deal management and portfolio workflows.

$35MSeries B
P
Portage
Private markets ops tooling is finally getting real venture dollars—this signals that LPs and GPs are tired of spreadsheet hell and willing to pay for consolidation. At $35M Series B, Bunch is likely building out integrations with existing portfolio management systems and hiring sales to land at mega-funds, which means the category has moved past "nice-to-have" to "table stakes." If you're building any workflow software for institutional finance, watch how Bunch positions around data security and audit trails—that's the actual moat in this space, not the UI.
Tomorrow.io logo
🇺🇸Tomorrow.ioWeather Intelligence

Tomorrow.io delivers hyperlocal weather forecasting and intelligence APIs for enterprises to optimize operations and reduce weather-related risks.

$35MSeries F
Investor undisclosed
A $35M Series F for weather APIs signals that enterprise customers are willing to pay for precision data that directly impacts P&L—this isn't a nice-to-have anymore. If you're building operational intelligence in logistics, energy, agriculture, or insurance, this validates that hyperlocal data layers are becoming table stakes; the real moat is in the prediction accuracy and API reliability, not the data access itself.
ONDC logo
🇮🇳ONDCDigital Commerce Infrastructure

Open Network for Digital Commerce enables interoperability between buyer and seller applications, allowing any buyer app to transact with any seller on the network regardless of platform, operating across retail ecommerce, mobility, logistics and financial services.

$3Strategic
Investor undisclosed